UX Designer, Cloud Professional Services

📍 Job Overview

Job Title: UX Designer, Cloud Professional Services Company: Google Location: Chicago, Illinois, United States Job Type: Full-time Category: UX Design / Operations Design Date Posted: September 10, 2025 Experience Level: Mid-Senior Level (Estimated 5-10 years) Remote Status: On-site

🚀 Role Summary

• Drive user experience design for Google Cloud Professional Services, focusing on client-facing applications and solutions within the enterprise space.
• Leverage deep understanding of user-centered design principles to translate complex requirements into intuitive and engaging user interfaces for Google's cloud offerings.
• Collaborate closely with product managers, engineers, and cross-functional teams to define, design, and deliver innovative UX solutions that address critical business problems for Google Cloud customers.
• Contribute to the evolution of Google's design language and standards, ensuring consistency and excellence across a portfolio of professional services products and client engagements.

📝 Enhancement Note: The role specifies "Cloud Professional Services," indicating a focus on B2B enterprise applications and customer-facing solutions rather than consumer products. This implies a need for expertise in enterprise product design, complex workflows, and a strong understanding of business-level user needs and ROI considerations, which are critical in operations and professional services contexts.

📈 Primary Responsibilities

• Lead the end-to-end design process for Google Cloud Professional Services applications, from concept ideation and user research to wireframing, prototyping, and high-fidelity mockups.
• Collaborate with product managers, developers, and cross-functional stakeholders to deeply understand client requirements, business objectives, and technical constraints, translating these into creative and effective UX solutions.
• Develop and present user flows, storyboards, wireframes, and interactive prototypes to effectively communicate design concepts and user experiences to internal teams and external clients.
• Manage and incorporate user feedback, market research, and business requirements into iterative product experience updates and ongoing design refinements.
• Advocate for user-centered design principles and champion the prioritization of design-centric changes, enhancements, and improvements that directly impact client satisfaction and operational efficiency for Google Cloud Professional Services.

📝 Enhancement Note: The core responsibilities highlight a strong emphasis on collaboration with product managers and developers, which is standard for UX roles. However, the inclusion of "cross-functional stakeholders" and "client requirements" points to a need for strong communication and stakeholder management skills, crucial for operations-focused roles that bridge technical and business needs. The advocacy for "design-centered changes" suggests a proactive approach to process improvement within the service delivery lifecycle.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Design, Human-Computer Interaction (HCI), Computer Science, a related field, or equivalent practical experience.
• Master's degree in a relevant field is preferred, indicating a strong theoretical foundation in design and user behavior.

Experience:

• Minimum of 4 years of direct experience in interaction design within product design or UX design roles.
• At least 3 years of hands-on experience with prototyping tools and methodologies to visualize and test design concepts.
• A minimum of 2 years of dedicated experience in enterprise product design, demonstrating familiarity with complex B2B application environments and user needs.
• 2 years of experience specifically with generative AI and machine learning concepts, highlighting the role's engagement with cutting-edge technology.

Required Skills:

• Interaction Design: Proven ability to design intuitive and efficient user interactions for complex applications.
• Prototyping: Proficiency in creating interactive prototypes using tools like Figma, Sketch, Adobe XD, or similar to convey design intent.
• Enterprise Product Design: Experience designing for B2B environments, understanding user roles, workflows, and business impact.
• Generative AI & Machine Learning: Foundational understanding and design experience with AI/ML-powered features and user interfaces.
• User-Centered Design (UCD): Deep commitment to and practical application of UCD principles throughout the design lifecycle.
• Wireframing & UI Mockups: Skill in creating clear wireframes, flow diagrams, and high-fidelity user interface mockups.

Preferred Skills:

• Cross-Functional Collaboration: 2 years of experience working effectively within cross-functional teams, including product management, engineering, and marketing.
• Design Project Leadership: 1 year of experience leading design projects, demonstrating initiative and ownership.
• User Research & Feedback Integration: Ability to conduct user research and effectively synthesize feedback to inform design decisions.
• Storyboarding: Experience using storyboards to visualize user journeys and product narratives.

📝 Enhancement Note: The emphasis on "enterprise product design," "generative AI," and "machine learning" clearly positions this role within advanced technology applications, often found in operationalizing complex software solutions. The preference for cross-functional experience and project leadership is typical for roles expected to influence process and drive outcomes in a professional services context.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing a range of UX design projects, with a strong emphasis on enterprise applications, B2B solutions, or complex software systems.
• Demonstrate a clear understanding of the design process, from initial research and ideation through to final implementation and iteration, highlighting problem-solving approaches.
• Include case studies that illustrate how user needs were identified and translated into effective design solutions, showcasing the impact on user experience and business objectives.
• Examples of work involving generative AI or machine learning interfaces are highly valuable, demonstrating experience with advanced technological applications.

Process Documentation:

• Showcase examples of process documentation, such as user flows, information architecture diagrams, and wireframes, that clearly articulate design decisions and system logic.
• Provide evidence of how designs were tested and iterated upon based on user feedback and performance data, demonstrating a commitment to continuous improvement.
• Illustrate experience with prototyping tools and methodologies, showcasing the ability to create interactive representations of proposed solutions to validate concepts.

📝 Enhancement Note: For a UX role in professional services, the portfolio must go beyond visual aesthetics. It needs to demonstrate a structured approach to problem-solving, an understanding of complex system interactions, and the ability to articulate the "why" behind design decisions, particularly concerning efficiency and user adoption in enterprise settings. Including examples of how AI/ML was integrated into user workflows would be a significant advantage.

💵 Compensation & Benefits

Salary Range:

• The US base salary range for this full-time position is $129,000 - $185,000 annually.
• This range is determined by factors such as job level, specific role responsibilities, and geographic location. Individual pay is further influenced by work location and other job-related factors like skills, experience, and education.

Benefits:

• Bonus: Performance-based bonus opportunities are provided, aligning with individual and company achievements.
• Equity: Stock options or other equity grants are part of the compensation package, offering a stake in the company's growth.
• Comprehensive Benefits: Includes health insurance (medical, dental, vision), retirement savings plans (e.g., 401k), paid time off, and other standard employee benefits.

Working Hours:

• The role is full-time, generally expected to align with a standard 40-hour work week. However, flexibility may be required to meet project deadlines and client needs, common in professional services and operations-driven environments.

📝 Enhancement Note: The provided salary range is competitive for a UX Designer role in a major tech hub like Chicago, especially at a company like Google. The inclusion of bonus and equity indicates a performance-oriented culture. The mention of flexibility in working hours is typical for roles that support client projects and require responsiveness.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Cloud Computing, Software Services) Company Size: Google is a large, publicly traded technology company with hundreds of thousands of employees globally. This scale offers vast resources, extensive career paths, and exposure to diverse projects and technologies. Founded: 1998. Google's long history is marked by innovation, a user-centric philosophy, and a commitment to organizing the world's information and making it universally accessible and useful.

Team Structure:

• The UX team at Google is integrated into product development, consisting of multi-disciplinary professionals including UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers.
• Reporting typically involves a design lead or manager, with close collaboration with product managers and engineering leads for specific product areas.
• Cross-functional collaboration is a cornerstone of Google's culture, with UX designers frequently partnering with various departments to ensure a holistic product experience.

Methodology:

• Google champions a data-driven approach, emphasizing user research, A/B testing, and performance metrics to inform design decisions and product iterations.
• Workflow planning and optimization are critical, ensuring efficient product development cycles and scalable solutions.
• Automation and efficiency practices are embedded in the company's DNA, aiming to create seamless and powerful user experiences.

Company Website: https://www.google.com

📝 Enhancement Note: Google's culture is known for its emphasis on data, innovation, and user focus. For a UX designer in Cloud Professional Services, this means being comfortable with rigorous testing, iterative design, and a high degree of collaboration to deliver robust enterprise solutions. The scale of Google also means opportunities to influence processes that impact a vast number of enterprise clients.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a mid-to-senior level, likely equivalent to a Senior UX Designer or Lead UX Designer within other organizations. It requires significant autonomy and the ability to manage complex design challenges independently. Reporting Structure: The UX Designer will likely report to a Design Manager or Lead within the Google Cloud UX organization. They will work closely with Product Managers and Engineering Leads for specific cloud service areas, fostering a collaborative, matrixed reporting environment. Operations Impact: The UX Designer's work directly impacts the usability and adoption of Google Cloud Professional Services, influencing client satisfaction, retention, and the overall success of Google's enterprise cloud offerings. By simplifying complex technical services, the role contributes to operational efficiency for clients and revenue growth for Google Cloud.

Growth Opportunities:

• Skill Specialization: Deepen expertise in specific areas such as generative AI design, enterprise UX, or service design within the cloud domain.
• Leadership Development: Potential to lead design projects, mentor junior designers, and contribute to design system development and best practices.
• Cross-Functional Mobility: Opportunities to move into related roles in Product Management, UX Research, or even technical program management within Google Cloud.
• Industry Influence: Contribute to shaping the future of UX in cloud computing and AI, potentially presenting at conferences or publishing design insights.

📝 Enhancement Note: The "Professional Services" aspect suggests that growth may also involve understanding customer success metrics and service delivery optimization, which are key operational considerations. The role offers a clear path for advancing within a specialized technology domain, leveraging AI/ML expertise.

🌐 Work Environment

Office Type: Google operates modern, collaborative office spaces designed to foster innovation and teamwork. The Chicago office is likely equipped with state-of-the-art facilities. Office Location(s): Chicago, Illinois. This location offers a vibrant tech ecosystem and accessibility for employees. Workspace Context:

• The workspace is built for collaboration, with open-plan areas, meeting rooms, and quiet zones to cater to different work styles and project needs.
• Access to cutting-edge tools, hardware, and software necessary for advanced UX design, prototyping, and collaboration with distributed teams.
• Opportunities for frequent interaction with product managers, engineers, and other designers, promoting a dynamic and knowledge-sharing environment.

Work Schedule: While a standard 40-hour week is typical, the nature of enterprise client projects and global operations may necessitate occasional flexibility to accommodate different time zones or urgent client needs. This allows for effective collaboration across teams and continents.

📝 Enhancement Note: The emphasis on collaborative spaces and access to advanced tools is crucial for productivity in a demanding UX role. The mention of flexibility acknowledges the operational realities of supporting global clients and cross-functional teams.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screen: A recruiter or hiring manager will review your application and portfolio, assessing qualifications and fit. Be prepared to discuss your most relevant UX projects.
• Design Challenge/Portfolio Review: Expect a deep dive into your portfolio. This may involve a presentation of 1-3 key projects, focusing on your process, problem-solving, design decisions, and the impact of your work. Prepare to articulate your thought process and rationale.
• On-site/Virtual Interviews: Multiple interviews with various stakeholders, including design peers, product managers, and engineering leads. These will assess your technical skills, collaboration abilities, problem-solving approach, and cultural fit within Google.
• Hiring Committee Review: In many cases, Google uses a hiring committee to review all interview feedback and make a final decision, ensuring a standardized and fair evaluation process.

Portfolio Review Tips:

• Structure is Key: Organize your portfolio with clear case studies. For each case study, outline the problem, your role, the process you followed, your design solutions, the challenges faced, and the measurable outcomes or impact.
• Show, Don't Just Tell: Use visuals (wireframes, mockups, prototypes) effectively. Explain your decision-making process at each stage, especially how you addressed user needs and business requirements.
• Highlight Operations Relevance: For this role, emphasize projects that demonstrate an understanding of enterprise workflows, B2B user needs, and how your designs contributed to efficiency, adoption, or client success.
• AI/ML Focus: If you have relevant AI/ML design experience, make it a prominent part of your presentation. Explain how you approached the unique challenges of designing for these technologies.
• Conciseness: Be prepared to present your work concisely and answer detailed questions about your contributions and thought process.

Challenge Preparation:

• Problem-Solving: Practice breaking down complex problems into manageable components and articulating your approach to solving them.
• Design Thinking: Be ready to discuss your application of design thinking principles and user-centered methodologies.
• Collaboration Scenarios: Prepare examples demonstrating how you've worked effectively with cross-functional teams, managed stakeholder feedback, and navigated disagreements.
• Company Research: Understand Google Cloud's mission, its key offerings, and the challenges its professional services aim to solve for enterprise clients.

📝 Enhancement Note: The interview process at Google is rigorous and structured. For this role, demonstrating a deep understanding of enterprise UX, client-facing solutions, and the ability to translate complex technical requirements into user-friendly interfaces will be critical. Highlighting experience with AI/ML and a structured, data-informed design process will be key differentiators.

🛠 Tools & Technology Stack

Primary Tools:

• Prototyping & Design: Proficiency with industry-standard tools such as Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop, XD), and InVision is expected.
• Wireframing & Flow Diagramming: Tools like Balsamiq, Lucidchart, or Miro may be used for early-stage conceptualization and workflow mapping.
• Collaboration Platforms: Google Workspace tools (Docs, Sheets, Slides, Meet), Jira, Confluence, and Slack are likely utilized for team collaboration and project management.

Analytics & Reporting:

• Familiarity with analytics platforms (e.g., Google Analytics, Mixpanel) to understand user behavior and inform design decisions is beneficial.
• Experience with A/B testing frameworks and interpreting results to optimize user experiences.

CRM & Automation:

• While not a direct CRM role, understanding how UX design integrates with CRM systems (like Salesforce) and automation workflows within an enterprise context is advantageous for professional services applications.

📝 Enhancement Note: Given Google's ecosystem, deep familiarity with Google's own suite of collaboration and design tools is likely assumed. Demonstrating adaptability to new tools and technologies is also important, especially in the rapidly evolving cloud and AI space.

👥 Team Culture & Values

Operations Values:

• User Focus: A deep commitment to understanding and serving the user (in this case, Google Cloud's enterprise clients) as the primary driver of all design decisions.
• Data-Driven Decisions: Relying on user research, analytics, and performance metrics to guide design choices and validate solutions, ensuring measurable impact.
• Collaboration & Inclusion: Fostering an environment where diverse perspectives are valued, and cross-functional teams work together seamlessly to achieve shared goals.
• Innovation & Excellence: Continuously seeking new and better ways to solve complex problems, pushing the boundaries of design and technology.
• Efficiency & Scalability: Designing solutions that are not only user-friendly but also efficient to implement and scalable for a global enterprise client base.

Collaboration Style:

• Expect a highly collaborative environment where designers work closely with product managers, engineers, researchers, and even sales and customer success teams.
• Emphasis on open communication, constructive feedback, and shared ownership of product outcomes.
• Agile methodologies are likely employed, facilitating iterative design reviews and rapid prototyping.

📝 Enhancement Note: The values align with Google's broader philosophy but are specifically applied to the context of enterprise B2B services. This means a strong focus on how design contributes to client business outcomes, operational efficiency, and long-term partnership.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Enterprise Solutions: Designing for complex, multi-faceted enterprise cloud services requires a deep understanding of technical architectures and business processes.
• Balancing User Needs with Business Requirements: Effectively integrating diverse client needs, technical constraints, and Google's strategic objectives into cohesive UX solutions.
• Rapid Technological Advancements: Keeping pace with the rapid evolution of cloud computing, generative AI, and machine learning to ensure designs remain relevant and innovative.
• Cross-Functional Alignment: Ensuring consistent design vision and execution across multiple product teams and stakeholders within a large organization.

Learning & Development Opportunities:

• Specialized Training: Access to internal training programs focused on AI/ML design, cloud technologies, and enterprise UX best practices.
• Mentorship: Opportunities to learn from experienced designers and leaders within Google's extensive UX community.
• Industry Exposure: Participation in industry conferences, workshops, and access to cutting-edge research in UX, AI, and cloud computing.
• Career Pathing: Clear pathways for advancement into senior design roles, management, or specialized UX domains within Google Cloud.

📝 Enhancement Note: The challenges are inherent to working in a high-growth, technology-driven sector like cloud services. The growth opportunities are amplified by Google's commitment to employee development and its position at the forefront of technological innovation.

💡 Interview Preparation

Strategy Questions:

• Design Process: Be prepared to walk through your entire design process for a key project, emphasizing how you identified user needs, brainstormed solutions, iterated based on feedback, and measured success. Focus on the "why" behind your decisions.
• Problem-Solving Scenarios: Expect hypothetical design challenges related to enterprise cloud services or AI features. Practice breaking down the problem, identifying key user groups, and proposing innovative, user-centered solutions.
• Collaboration & Stakeholder Management: Prepare examples of how you've worked with product managers, engineers, and other stakeholders to achieve design goals, manage conflicting priorities, and advocate for user needs.

Company & Culture Questions:

• Google Cloud Knowledge: Research Google Cloud's services, its competitive landscape, and its mission. Understand how professional services support client adoption and success.
• Cultural Fit: Reflect on Google's core values (user focus, innovation, collaboration) and be ready to share examples of how you embody these principles in your work.
• Handling Ambiguity: Prepare to discuss how you approach situations with unclear requirements or evolving project scopes, common in fast-paced tech environments.

Portfolio Presentation Strategy:

• Narrative Flow: Craft a compelling story for each case study, guiding interviewers through your journey from problem identification to solution implementation.
• Visual Clarity: Ensure your visuals (wireframes, prototypes, final designs) are clean, well-organized, and clearly illustrate your design decisions.
• Impact Metrics: Quantify the impact of your work whenever possible. This could include improvements in user task completion rates, satisfaction scores, efficiency gains, or adoption metrics.
• Role Relevance: Tailor your presentation to highlight experience most relevant to enterprise product design and cloud services, showcasing your understanding of B2B user needs.

📝 Enhancement Note: The interview preparation should focus on demonstrating not just design skills, but also strategic thinking, business acumen, and the ability to operate effectively within a large, complex organization like Google. Highlighting experience with AI/ML in enterprise contexts will be a significant advantage.

📌 Application Steps

To apply for this UX Designer position:

• Submit your application through the Google Careers portal using the provided link.
• Portfolio Customization: Ensure your portfolio is up-to-date and prominently features 2-3 of your strongest enterprise or complex application design projects. Tailor your case study descriptions to highlight your understanding of business objectives and user efficiency.
• Resume Optimization: Craft a resume that clearly articulates your years of experience in interaction design, enterprise product design, and AI/ML. Use keywords from the job description and quantify your achievements with metrics.
• Interview Practice: Rehearse your portfolio presentation, focusing on storytelling, clear articulation of your design process, and demonstrating how your work aligns with Google's user-centric and data-driven culture. Practice answering behavioral questions related to collaboration and problem-solving.
• Company Research: Familiarize yourself with Google Cloud's offerings, its professional services model, and its commitment to innovation in AI and cloud computing. Understand the value proposition for enterprise clients.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.